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from pathlib import Path
from typing import Dict, List, Tuple
import datasets
from seacrowd.utils.configs import SEACrowdConfig
from seacrowd.utils.constants import Licenses
_CITATION = """\
@InProceedings{NOMOTO18.8,
author = {Hiroki Nomoto ,Hannah Choi ,David Moeljadi and Francis Bond},
title = {MALINDO Morph: Morphological dictionary and analyser for Malay/Indonesian},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
year = {2018},
month = {may},
date = {7-12},
location = {Miyazaki, Japan},
editor = {Kiyoaki Shirai},
publisher = {European Language Resources Association (ELRA)},
address = {Paris, France},
isbn = {979-10-95546-24-5},
language = {english}
}
"""
_DATASETNAME = "malindo_morph"
_DESCRIPTION = """\
MALINDO Morph is a morphological dictionary for Malay (bahasa Melayu) and Indonesian (bahasa Indonesia) language.
It contains over 200,000 lines, with each containing an analysis for one (case-sensitive) token.
Each line is made up of the following six items, separated by tabs: root, surface form, prefix, suffix, circumfix, reduplication.
"""
_HOMEPAGE = "https://github.com/matbahasa/MALINDO_Morph"
_LANGUAGES = ["zlm", "ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
_LICENSE = Licenses.CC_BY_4_0.value # example: Licenses.MIT.value, Licenses.CC_BY_NC_SA_4_0.value, Licenses.UNLICENSE.value, Licenses.UNKNOWN.value
_LOCAL = False
_URLS = {
_DATASETNAME: "https://raw.githubusercontent.com/matbahasa/MALINDO_Morph/master/malindo_dic_2023.tsv",
}
_SUPPORTED_TASKS = []
_SOURCE_VERSION = "2023.0.0"
_SEACROWD_VERSION = "2024.06.20"
class MalindoMorph(datasets.GeneratorBasedBuilder):
"""MALINDO Morph is a morphological dictionary for Malay (bahasa Melayu) and Indonesian (bahasa Indonesia) language. It provides morphological information (root, prefix, suffix, circumfix, reduplication) for over 200,000 surface forms."""
SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
BUILDER_CONFIGS = [
SEACrowdConfig(
name=f"{_DATASETNAME}_source",
version=SOURCE_VERSION,
description=f"{_DATASETNAME} source schema",
schema="source",
subset_id=f"{_DATASETNAME}",
),
]
DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
def _info(self) -> datasets.DatasetInfo:
if self.config.schema == "source":
features = datasets.Features(
{
"id": datasets.Value("string"),
"root": datasets.Value("string"),
"bentuk_jadian": datasets.Value("string"),
"prefix": datasets.Value("string"),
"suffix": datasets.Value("string"),
"circumfix": datasets.Value("string"),
"reduplication": datasets.Value("string"),
"source": datasets.Value("string"),
"stem": datasets.Value("string"),
"lemma": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
"""Returns SplitGenerators."""
urls = _URLS[_DATASETNAME]
file = dl_manager.download_and_extract(urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": file,
"split": "train",
},
)
]
def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]:
"""Yields examples as (key, example) tuples."""
rows = []
with open(filepath, encoding="utf8") as file:
for line in file:
row = line.split("\t")
row[-1] = row[-1].split("\n")[0] # remove newlines from lemma feature
rows.append(row)
if self.config.schema == "source":
for key, row in enumerate(rows):
example = {"id": row[0], "root": row[1], "bentuk_jadian": row[2], "prefix": row[3], "suffix": row[4], "circumfix": row[5], "reduplication": row[6], "source": row[7], "stem": row[8], "lemma": row[9]}
yield key, example
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